Simultaneous determination of methanol and ethanol in gasoline using NIR spectroscopy: Effect of gasoline composition

Fernandes, Heitor L.; Raimundo, Ivo M.; Pasquini, Célio; Rohwedder, Jarbas José R.

doi:10.1016/j.talanta.2007.12.025

Cited by 84 publications

(64 citation statements)

References 16 publications

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“…NIR spectral region from 714 to 2500 nm [19] was employed for simultaneous determination of methanol and ethanol contents in gasoline and fermented beverages [17,19]. But, the PLS regression models were developed using the spectral range from 1105 to 1682 nm [19], 2000 to 10,800 nm [16] and 2220 to 2354 nm [20] in different studies.…”

Section: Introductionmentioning

confidence: 99%

“…Another band, also wide, between 1350 and 1670 nm, results from the overlapping of two absorption bands. The first band, located between 1350 and 1550 nm, is related to first overtone of the combination band from C-H + C-H and C-H + C-C stretching and, the second band, between 1400 and 1670 nm, is related to the first overtone of O-H stretching from the alcohols (methanol and ethanol) [17,19]. In the region below 1449 nm, methyl (-CH 3 ) and methylene (-CH 2 -) groups absorption, coming from the different hydrocarbons and alcohols present in the beverages, are observed [17,19].…”

Section: Introductionmentioning

confidence: 99%

“…The first band, located between 1350 and 1550 nm, is related to first overtone of the combination band from C-H + C-H and C-H + C-C stretching and, the second band, between 1400 and 1670 nm, is related to the first overtone of O-H stretching from the alcohols (methanol and ethanol) [17,19]. In the region below 1449 nm, methyl (-CH 3 ) and methylene (-CH 2 -) groups absorption, coming from the different hydrocarbons and alcohols present in the beverages, are observed [17,19]. It is also possible to observe, absorption above 1650 nm refers to aromatic hydrocarbons first overtone of C-H + C-H and C-H + C-C stretching, which is overlapped by absorptions of O-H stretching of alcohols [17,19].…”

Section: Introductionmentioning

confidence: 99%

“…In the region below 1449 nm, methyl (-CH 3 ) and methylene (-CH 2 -) groups absorption, coming from the different hydrocarbons and alcohols present in the beverages, are observed [17,19]. It is also possible to observe, absorption above 1650 nm refers to aromatic hydrocarbons first overtone of C-H + C-H and C-H + C-C stretching, which is overlapped by absorptions of O-H stretching of alcohols [17,19]. At 1790 nm the first C-H stretching overtone occurs.…”

Section: Introductionmentioning

confidence: 99%

“…PLS-FTIR has been employed to determine sucrose in fruit juices and glucose, total protein, cholesterol, urea and uric acid in blood, in pharmaceutical analysis; it allows the simultaneous determination of paracetamol, acetylsalicylic acid, caffeine, etc [1] and for simultaneous determination of methanol and ethanol contents in gasoline [19,21] and beverages [21,22].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Partial least squares−near infrared spectrometric determination of ethanol in distilled alcoholic beverages

Debebe¹,

Temesgen²,

Abshiro³

et al. 2017

Bull. Chem. Soc. Eth.

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ABSTRACT. In this study, using near infrared (NIR) spectrometrypartial least squares (PLS) calibration model was used for the determination of ethanol content in distilled alcoholic beverages. In NIR, 1660-1720 nm, the PLS modeling and analysis made use of 24 standards which contain 2-15% (w/w) ethanol with 0.1-1% (w/w) methanol. One-half was used for calibration and the other half for validation. Derivative, mean centering and subtracting minimum value were used as data treatment techniques for noise reduction and baseline correction. Mean centering has given the best partial least squares model with R 2 = 0.999 and root mean square error of prediction (RMSEP) = 0.06 for ethanol and R 2 = 0.929 and RMSEP = 0.08 for methanol, respectively. The percentage recovery obtained for ethanol and methanol ranges from 97-98% (w/w). The developed method produced good agreement with reference method, gas chromatography.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Partial least squares−near infrared spectrometric determination of ethanol in distilled alcoholic beverages

Debebe¹,

Temesgen²,

Abshiro³

et al. 2017

Bull. Chem. Soc. Eth.

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Near‐Infrared Spectroscopy in Analysis of Crudes and Transportation Fuels

Alves

Poppi

2015

Encyclopedia of Analytical Chemistry

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There is an ongoing need for improvement in the optimization of petroleum refining processes. To this end, the technological development of analytical instrumentation and data treatment have been explored using process analytical chemistry (PAC) tools, which allow real‐time on‐line or in‐line analysis faster and with lower cost than the standard reference methods. The use of near‐infrared (NIR) spectroscopy combined with chemometric methods is an ideal fit for PAC tasks. This combination has provided good results in the analysis of crude oil and petroleum derivatives such as gasoline and diesel oil, for which many quality parameters can be adequately determined using process analyzers, providing information for process control by means of real‐time optimization (RTO) systems. The final quality control of gasoline and diesel oil, as well as their mixtures with biofuels, such as ethanol and biodiesel, respectively, can also be adequately performed in the laboratory using NIR spectroscopy combined with chemometric methods.

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Quantitative Analysis of Chromium(VI) in Dilute Solution by Using Adsorption and Diffuse Reflectance Near‐infrared Spectroscopy

2010

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A method for quantitative determination of metal element in aqueous solution was developed by using adsorption and diffuse reflectance near-infrared spectroscopy (DRNIRS). In this method, the analyte is firstly adsorbed onto the resin from the dilute solution, and then the adsorbed analyte is directly determined in the sorbent by using DRNIRS. Enrichment of the analyte is achieved by the adsorption from the dilute solution, and quantitative determination is accomplished by using multivariate calibration technique. Taking chromium(VI) in river water as the analytical target, adsorption conditions and the partial least squares (PLS) model was optimized. The results show that chromium(VI) can be immobilized onto the adsorbent and quantitatively measured by DRNIRS and multivariate calibration. With cross validation and external validation, the correlation coefficient between the reference and predicted concentration was found to be above 0.98 in the range of 0.75-29.90 mg•L -1 for the PLS model, and the interference of the coexisting matrix was eliminated with the aid of multivariate calibration.

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Simultaneous determination of methanol and ethanol in gasoline using NIR spectroscopy: Effect of gasoline composition

Cited by 84 publications

References 16 publications

Partial least squares−near infrared spectrometric determination of ethanol in distilled alcoholic beverages

Partial least squares−near infrared spectrometric determination of ethanol in distilled alcoholic beverages

Near‐Infrared Spectroscopy in Analysis of Crudes and Transportation Fuels

Quantitative Analysis of Chromium(VI) in Dilute Solution by Using Adsorption and Diffuse Reflectance Near‐infrared Spectroscopy

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